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Methylation detection oligonucleotide microarray analysis: a high-resolution method for detection of CpG island methylation
Author(s) -
Sitharthan Kamalakaran,
Jude Kendall,
Xiaoyue Zhao,
Chunlao Tang,
Sohail Ahmed Khan,
Kandasamy Ravi,
Theresa Auletta,
M Riggs,
Yun Wang,
Åslaug Helland,
Bjørn Naume,
Nevenka Dimitrova,
AnneLise BørresenDale,
Jim Hicks,
Robert Lucito
Publication year - 2009
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkp413
Subject(s) - biology , cpg site , dna methylation , methylation , epigenetics , illumina methylation assay , differentially methylated regions , genetics , microarray , promoter , rna directed dna methylation , epigenetics of physical exercise , gene , computational biology , microbiology and biotechnology , gene expression
Methylation of CpG islands associated with genes can affect the expression of the proximal gene, and methylation of non-associated CpG islands correlates to genomic instability. This epigenetic modification has been shown to be important in many pathologies, from development and disease to cancer. We report the development of a novel high-resolution microarray that detects the methylation status of over 25,000 CpG islands in the human genome. Experiments were performed to demonstrate low system noise in the methodology and that the array probes have a high signal to noise ratio. Methylation measurements between different cell lines were validated demonstrating the accuracy of measurement. We then identified alterations in CpG islands, both those associated with gene promoters, as well as non-promoter-associated islands in a set of breast and ovarian tumors. We demonstrate that this methodology accurately identifies methylation profiles in cancer and in principle it can differentiate any CpG methylation alterations and can be adapted to analyze other species

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